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Epoch 1: 32%|███▏ | 13166/41242 [42:43<1:33:56, 4.98it/s, training_loss=0.004]
Epoch 1: 32%|███▏ | 13167/41242 [42:43<1:32:32, 5.06it/s, training_loss=0.004]
Epoch 1: 32%|███▏ | 13167/41242 [42:43<1:32:32, 5.06it/s, training_loss=0.002]
Epoch 1: 32%|███▏ | 13168/41242 [42:43<1:31:11, 5.13it/s, training_loss=0.002]
Epoch 1: 32%|███▏ | 13168/41242 [42:44<1:31:11, 5.13it/s, training_loss=0.004]
Epoch 1: 32%|███▏ | 13169/41242 [42:44<1:30:25, 5.17it/s, training_loss=0.004]
Epoch 1: 32%|███▏ | 13169/41242 [42:44<1:30:25, 5.17it/s, training_loss=0.002]
Epoch 1: 32%|███▏ | 13170/41242 [42:44<1:29:35, 5.22it/s, training_loss=0.002]
Epoch 1: 32%|███▏ | 13170/41242 [42:44<1:29:35, 5.22it/s, training_loss=0.002]
Epoch 1: 32%|███▏ | 13171/41242 [42:44<1:31:26, 5.12it/s, training_loss=0.002]
Epoch 1: 32%|███▏ | 13171/41242 [42:44<1:31:26, 5.12it/s, training_loss=0.005]
Epoch 1: 32%|███▏ | 13172/41242 [42:44<1:33:26, 5.01it/s, training_loss=0.005]
Epoch 1: 32%|███▏ | 13172/41242 [42:44<1:33:26, 5.01it/s, training_loss=0.103]
Epoch 1: 32%|███▏ | 13173/41242 [42:44<1:33:03, 5.03it/s, training_loss=0.103]
Epoch 1: 32%|███▏ | 13173/41242 [42:45<1:33:03, 5.03it/s, training_loss=0.004]
Epoch 1: 32%|███▏ | 13174/41242 [42:45<1:32:28, 5.06it/s, training_loss=0.004]
Epoch 1: 32%|███▏ | 13174/41242 [42:45<1:32:28, 5.06it/s, training_loss=0.005]
Epoch 1: 32%|███▏ | 13175/41242 [42:45<1:33:12, 5.02it/s, training_loss=0.005]
Epoch 1: 32%|███▏ | 13175/41242 [42:45<1:33:12, 5.02it/s, training_loss=0.009]
Epoch 1: 32%|███▏ | 13176/41242 [42:45<1:34:47, 4.93it/s, training_loss=0.009]
Epoch 1: 32%|███▏ | 13176/41242 [42:45<1:34:47, 4.93it/s, training_loss=0.003]
Epoch 1: 32%|███▏ | 13177/41242 [42:45<1:32:42, 5.05it/s, training_loss=0.003]
Epoch 1: 32%|███▏ | 13177/41242 [42:45<1:32:42, 5.05it/s, training_loss=0.027]